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Data Management

The Art Of Mastering Data Quality For AI And Analytics: 7 Essential Tips For IT Leaders

By Informatica

Informatica
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Overview

According to Gartner, “Poor data quality destroys business value. Recent research shows organizations estimate the average cost of poor data quality at $10.8 million per year.”1

To thrive in today’s high-pressure economy, it's crucial to have a strong data quality strategy — especially when it comes to artificial intelligence (AI) and analytics. With trusted, secure and high-quality data for AI and analytics, you can grow your business, make smarter decisions and reduce costs.

Get our eBook, “The Art of Mastering Data Quality for AI and Analytics: 7 Essential Tips for IT Leaders,” to learn:
 
  • How to master data quality for AI and analytics and build a successful strategy
  • Ways to use AI and analytics to access new insights and opportunities
  • Tips to get the most value out of your data

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Tags:

InformaticaArtificial Intelligence (AI)Cloud Data IntegrationData Management CloudData EngineeringData Analytics

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